Image augmentation for machine learning experiments.

Most popular metrics used to evaluate object detection algorithms.

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Label images and video for Computer Vision applications

HAnd Gesture Recognition Image Dataset

A lightweight tool for labeling 3D bounding boxes in point clouds.

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Make drawing and labeling bounding boxes a piece of cake

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

Weakly Supervised Learning for Findings Detection in Medical Images

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

Minimalistic COCO Dataset Viewer in Tkinter

Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

This is a repository for an object detection inference API using the Tensorflow framework.

Yolov5 Face Detection

BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.